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Levio

Consulting to boost efficiency and profitability

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeCanadaNo salary listedIn-person

About the Job

Requirements

  • Production experience developing data feeds, data integrations, or data pipelines.
  • Strong Python development experience, including data processing and transformation.
  • Strong hands-on experience with Microsoft SQL Server and T-SQL, including complex queries, joins, common table expressions, aggregations, data manipulation, views, and stored procedures.
  • Hands-on experience with Snowflake, including data querying, loading, transformation, validation, and pipeline development.
  • Experience with Data Vault modeling, including Hubs, Links, Satellites, hash keys, hash differences, and incremental data-loading patterns.
  • Experience developing and supporting Snowflake pipelines using stages, Snowpipe, Streams, Tasks, and stored procedures.
  • Hands-on experience integrating with REST APIs, including authentication, response handling, error handling, and pagination.
  • Hands-on experience with SFTP/file-based data integrations.
  • Experience processing structured data such as JSON, CSV, and XML.
  • Basic working knowledge of Docker, including containerizing applications.
  • Basic working knowledge of AWS ECS and running containerized workloads as ECS tasks.
  • Strong troubleshooting and problem-solving skills, particularly in production data and integration environments.
  • Familiarity with version control and standard software development lifecycle practices.

Responsibilities

  • Design, develop, and maintain data feeds and integration pipelines from source systems through processing and downstream delivery.
  • Build integrations using REST APIs, SFTP, SQL Server, Snowflake, and other data sources.
  • Develop Python applications and scripts for data ingestion, transformation, validation, reconciliation, and processing.
  • Develop and support Snowflake data pipelines, including incremental data-loading patterns and Snowflake-native capabilities such as stages, Snowpipe, Streams, Tasks, and stored procedures.
  • Apply Data Vault modeling principles, including Hubs, Links, Satellites, hash keys, hash differences, and incremental loading.
  • Write and troubleshoot T-SQL for data extraction, transformation, validation, reconciliation, and data processing.
  • Containerize Python-based data-processing applications using Docker and run them as AWS ECS tasks.
  • Monitor and troubleshoot data feeds and pipelines, resolving issues involving APIs, SFTP transfers, data processing, SQL Server, Snowflake, and downstream systems.
  • Implement appropriate error handling, logging, monitoring, and retry mechanisms to support reliable production data feeds.
  • Collaborate with technical and business stakeholders to understand requirements, resolve data issues, and support end-to-end data integration workflows.
  • Maintain technical documentation for data pipelines, integrations, data models, and operational procedures.

Desired Qualifications

  • Experience with AWS services, particularly ECS, S3, CloudWatch, IAM, and Secrets Manager.
  • Experience with Kafka or similar event-streaming/message-broker technologies.
  • Experience with CI/CD pipelines for building, testing, security scanning, and deploying Python and containerized applications.
  • Experience with CI/CD tools such as Harness, GitHub Actions, GitLab CI, Jenkins, or similar platforms.
  • Experience working with MongoDB, including querying, ingesting, updating, and processing data from MongoDB collections as part of data integration workflows.
  • Experience with infrastructure-as-code tools such as Terraform or CloudFormation.
  • Experience implementing data-quality, validation, reconciliation, monitoring, alerting, and operational support processes.
  • Familiarity with AWS networking and security concepts.
  • Experience working in an Agile/Scrum development environment.

About the Company

Levio

Consulting to boost efficiency and profitability

Levio helps organizations improve efficiency and profitability by delivering technology-enabled solutions through a team of experienced consultants. Their work centers on leveraging new technologies to tailor and implement systems and processes that boost performance. The company differentiates itself by its people-first approach—the engagement, expertise, and personality of its consultants—fostering strong client relationships and trusted partnerships. The goal is to enable clients to achieve measurable gains in efficiency and profitability through strategic technology use.

Company size
11-50
Company stage
Early VC
Total funding
Not listed
Headquarters
Charlottetown, Canada
Founded
2014

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